QGen: On the Ability to Generalize in Quantization Aware Training

17 April 2024

Mohammadhossein Askarihemmat

Ahmadreza Jeddi

Reyhane Askari Hemmat

Papers citing "QGen: On the Ability to Generalize in Quantization Aware Training"

24 / 24 papers shown

Title
QEBVerif: Quantization Error Bound Verification of Neural Networks Yedi Zhang Fu Song Jun Sun MQ 48 11 0 06 Dec 2022
Why Quantization Improves Generalization: NTK of Binary Weight Neural Networks Kaiqi Zhang Ming Yin Yu Wang MQ 45 5 0 13 Jun 2022
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer Haoping Bai Mengsi Cao Ping Huang Jiulong Shan MQ 64 34 0 19 May 2021
Quantization of Deep Neural Networks for Accurate Edge Computing Wentao Chen Hailong Qiu Zhuang Jian Chutong Zhang Yu Hu Qing Lu Tianchen Wang Yiyu Shi Meiping Huang Xiaowe Xu 63 22 0 25 Apr 2021
Differentiable Model Compression via Pseudo Quantization Noise Alexandre Défossez Yossi Adi Gabriel Synnaeve DiffM MQ 52 50 0 20 Apr 2021
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 184 1,345 0 03 Oct 2020
Robust Quantization: One Model to Rule Them All Moran Shkolnik Brian Chmiel Ron Banner Gil Shomron Yury Nahshan A. Bronstein U. Weiser OOD MQ 49 75 0 18 Feb 2020
Fantastic Generalization Measures and Where to Find Them Yiding Jiang Behnam Neyshabur H. Mobahi Dilip Krishnan Samy Bengio AI4CE 129 606 0 04 Dec 2019
Defensive Quantization: When Efficiency Meets Robustness Ji Lin Chuang Gan Song Han MQ 69 203 0 17 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 170 3,431 0 28 Mar 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 75 802 0 21 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 113 1,714 0 13 Feb 2019
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 136 1,015 0 21 Jun 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 119 1,771 0 24 May 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 150 3,123 0 15 Dec 2017
Attacking Binarized Neural Networks A. Galloway Graham W. Taylor M. Moussa MQ AAML 60 105 0 01 Nov 2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks Behnam Neyshabur Srinadh Bhojanapalli Nathan Srebro 80 606 0 29 Jul 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 199 1,217 0 26 Jun 2017
Training Quantized Nets: A Deeper Understanding Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 53 211 0 07 Jun 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 106 813 0 31 Mar 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 384 1,051 0 10 Feb 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 421 2,936 0 15 Sep 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,289 0 11 Feb 2015
Network In Network Min Lin Qiang Chen Shuicheng Yan 291 6,274 0 16 Dec 2013